Pub Date : 2013-06-23DOI: 10.1109/ASCC.2013.6606081
Yue-E. Wang, Ximing Sun, Wei Wang, Jun Zhao, Z. Zhan
This paper investigates the problem of the input-to-state stability (ISS) for a class of switched nonlinear time-delay systems, in which time delays are involved in both the state and the switching signal of the controller. Because of the presence of the switching delay, the switching information available to the controller is a delayed information of the system, and then the closed-loop system will have two asynchronous switching signals. To study these two asynchronous switching signals in a unified framework, we adopt the technique of the merging switching signal. Based on a piecewise Lyapunov-Krasovskii functional method, some sufficient conditions are explicitly given to guarantee ISS of the switched nonlinear time-delay system under average dwell time scheme.
{"title":"Input-to-state stability for switched nonlinear time-delay systems","authors":"Yue-E. Wang, Ximing Sun, Wei Wang, Jun Zhao, Z. Zhan","doi":"10.1109/ASCC.2013.6606081","DOIUrl":"https://doi.org/10.1109/ASCC.2013.6606081","url":null,"abstract":"This paper investigates the problem of the input-to-state stability (ISS) for a class of switched nonlinear time-delay systems, in which time delays are involved in both the state and the switching signal of the controller. Because of the presence of the switching delay, the switching information available to the controller is a delayed information of the system, and then the closed-loop system will have two asynchronous switching signals. To study these two asynchronous switching signals in a unified framework, we adopt the technique of the merging switching signal. Based on a piecewise Lyapunov-Krasovskii functional method, some sufficient conditions are explicitly given to guarantee ISS of the switched nonlinear time-delay system under average dwell time scheme.","PeriodicalId":6304,"journal":{"name":"2013 9th Asian Control Conference (ASCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86686285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-06-23DOI: 10.1109/ASCC.2013.6606390
Gonçalo Cabrita, Lino Marques
This paper explores the use of the divergence operator for odor source declaration in swarm-based algorithms. A set of simulations of a swarm of robots running the decentralized asynchronous particle swarm optimization, bacterial foraging optimization and ant colony optimization algorithms was used to generate multiple wind and odor biased vector fields to investigate the effectiveness of the divergence operator in odor source declaration. A set of real world experiments were also performed using the same swarm algorithms on a controlled environment to ascertain if the divergence operator can also be used on real data. The sparse gas sensor data acquired by the robots was interpolated using the Nadaraya-Watson estimator by means of a wind and odor biased kernel before the application of the divergence. Results show that the divergence operator excels at odor source declaration.
{"title":"Divergence-based odor source declaration","authors":"Gonçalo Cabrita, Lino Marques","doi":"10.1109/ASCC.2013.6606390","DOIUrl":"https://doi.org/10.1109/ASCC.2013.6606390","url":null,"abstract":"This paper explores the use of the divergence operator for odor source declaration in swarm-based algorithms. A set of simulations of a swarm of robots running the decentralized asynchronous particle swarm optimization, bacterial foraging optimization and ant colony optimization algorithms was used to generate multiple wind and odor biased vector fields to investigate the effectiveness of the divergence operator in odor source declaration. A set of real world experiments were also performed using the same swarm algorithms on a controlled environment to ascertain if the divergence operator can also be used on real data. The sparse gas sensor data acquired by the robots was interpolated using the Nadaraya-Watson estimator by means of a wind and odor biased kernel before the application of the divergence. Results show that the divergence operator excels at odor source declaration.","PeriodicalId":6304,"journal":{"name":"2013 9th Asian Control Conference (ASCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86865878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-06-23DOI: 10.1109/ASCC.2013.6606062
M. Zamani, B. Anderson, Elisabeth Felsenstein, M. Deistler
Motivated by problems of modeling high dimensional time series, this paper considers time-invariant, discrete-time linear systems which have a larger number of outputs than inputs, with the inputs being independent stationary white noise sequences. Moreover, different outputs are measured at different rates (in economic modeling, it is common that some variables are measured monthly and others quarterly). In particular, the paper focuses on the case where the number of measurements is extremely large compared to the number of inputs. In the current paper, our ultimate goal is to identify the parameter matrices of such systems from outputs covariance data. To achieve this main goal and avoid excessively high dimensionality in the model, we use the notion of static factor, which roughly is a special subvector of the latent vector i.e. those parts of output vector remaining after removal of contaminating additive noise in the measurement. Since the model associated with the static factor is periodic in the output parameters, we use the well-known technique of blocking to obtain a blocked linear time-invariant system associated with this model. It is illustrated that this blocked system is generically zero-free. Then we use the spectral factorization technique to obtain the parameter matrices associated with the blocked system. These parameter matrices can be obtained by a finite number of rational calculations from the spectral matrix due to the generic zero-freeness of tall spectral matrices. Finally, we use the parameter matrices associated with the blocked system to obtain the parameter matrices associated with the static factor and ultimately those of the original underlying unblocked system.
{"title":"On modeling of tall linear systems with multirate outputs","authors":"M. Zamani, B. Anderson, Elisabeth Felsenstein, M. Deistler","doi":"10.1109/ASCC.2013.6606062","DOIUrl":"https://doi.org/10.1109/ASCC.2013.6606062","url":null,"abstract":"Motivated by problems of modeling high dimensional time series, this paper considers time-invariant, discrete-time linear systems which have a larger number of outputs than inputs, with the inputs being independent stationary white noise sequences. Moreover, different outputs are measured at different rates (in economic modeling, it is common that some variables are measured monthly and others quarterly). In particular, the paper focuses on the case where the number of measurements is extremely large compared to the number of inputs. In the current paper, our ultimate goal is to identify the parameter matrices of such systems from outputs covariance data. To achieve this main goal and avoid excessively high dimensionality in the model, we use the notion of static factor, which roughly is a special subvector of the latent vector i.e. those parts of output vector remaining after removal of contaminating additive noise in the measurement. Since the model associated with the static factor is periodic in the output parameters, we use the well-known technique of blocking to obtain a blocked linear time-invariant system associated with this model. It is illustrated that this blocked system is generically zero-free. Then we use the spectral factorization technique to obtain the parameter matrices associated with the blocked system. These parameter matrices can be obtained by a finite number of rational calculations from the spectral matrix due to the generic zero-freeness of tall spectral matrices. Finally, we use the parameter matrices associated with the blocked system to obtain the parameter matrices associated with the static factor and ultimately those of the original underlying unblocked system.","PeriodicalId":6304,"journal":{"name":"2013 9th Asian Control Conference (ASCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85835416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-06-23DOI: 10.1109/ASCC.2013.6606292
Basem Yousef, Farah M. T. Aiash
A compact mechanism is designed to enable manipulation about a pivot point, different kinds of surgical tools which are commonly used in minimally invasive surgery such as therapy laser delivery tools, biopsy and bracytherapy needles. The robot's special configuration will enable it to reorient a surgical tool about a pivot point conveniently; achieve and control small-scale movement for precision manipulation in two independent degrees of freedom, and allow for miniaturization so it can overcome problems associated with the limited surgical workspaces. The manipulator can be used in manual, autonomous or remote-control modes. Performance analysis showed that the robot can operate with an average angular accuracy of 1.4 and 1.1 degrees for the joints. The features of the proposed mechanism make it well suited for use in a broad range of medical interventions.
{"title":"A mechanism for surgical tool manipulation","authors":"Basem Yousef, Farah M. T. Aiash","doi":"10.1109/ASCC.2013.6606292","DOIUrl":"https://doi.org/10.1109/ASCC.2013.6606292","url":null,"abstract":"A compact mechanism is designed to enable manipulation about a pivot point, different kinds of surgical tools which are commonly used in minimally invasive surgery such as therapy laser delivery tools, biopsy and bracytherapy needles. The robot's special configuration will enable it to reorient a surgical tool about a pivot point conveniently; achieve and control small-scale movement for precision manipulation in two independent degrees of freedom, and allow for miniaturization so it can overcome problems associated with the limited surgical workspaces. The manipulator can be used in manual, autonomous or remote-control modes. Performance analysis showed that the robot can operate with an average angular accuracy of 1.4 and 1.1 degrees for the joints. The features of the proposed mechanism make it well suited for use in a broad range of medical interventions.","PeriodicalId":6304,"journal":{"name":"2013 9th Asian Control Conference (ASCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87707496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-06-23DOI: 10.1109/ASCC.2013.6606019
T. Hashimoto, Y. Takiguchi, T. Ohtsuka
Receding horizon control problem is investigated here for a generalized class of spatiotemporal dynamic systems. Receding horizon controllers often assume that all state variables are exactly known. However, it is usual that the state variables of systems are measured through outputs, hence, only limited parts of them can be used directly. Moreover, the output signals may be disturbed by process and sensor noises. In this study, we develop a design method of output feedback receding horizon control for a generalized class of spatiotemporal dynamic systems. We apply the contraction mapping method and unscented Kalman filter for solving the optimization and estimation problems, respectively. The effectiveness of the proposed method is verified by numerical simulations.
{"title":"Output Feedback receding horizon control for spatiotemporal dynamic systems","authors":"T. Hashimoto, Y. Takiguchi, T. Ohtsuka","doi":"10.1109/ASCC.2013.6606019","DOIUrl":"https://doi.org/10.1109/ASCC.2013.6606019","url":null,"abstract":"Receding horizon control problem is investigated here for a generalized class of spatiotemporal dynamic systems. Receding horizon controllers often assume that all state variables are exactly known. However, it is usual that the state variables of systems are measured through outputs, hence, only limited parts of them can be used directly. Moreover, the output signals may be disturbed by process and sensor noises. In this study, we develop a design method of output feedback receding horizon control for a generalized class of spatiotemporal dynamic systems. We apply the contraction mapping method and unscented Kalman filter for solving the optimization and estimation problems, respectively. The effectiveness of the proposed method is verified by numerical simulations.","PeriodicalId":6304,"journal":{"name":"2013 9th Asian Control Conference (ASCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87733827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-06-23DOI: 10.1109/ASCC.2013.6606236
Yan Liu, Xiaoqing Lu, Jianbo Xu
Although lots of vehicle detection methods can implement vehicle detection with high performance, most of their application is confined by traffic scenes. The detection precision may change heavily with traffic congestion extent, illumination variance and vehicle moving speed. To overcome the problem of weak traffic scene adaptability, a robust vehicle detection method is proposed using the inter-relationship of consecutive multiframes. The changing of frame content is a process including abrupt and gradual variation caused by the objects' color and intensity changing. Thus, the local maxima of consecutive frames' objective function are constructed to determine the best vehicle detection frame. This function is invariant to traffic congestion and vehicle speed, and avoids vehicle segmentation from frames. For illumination invariance, traditional threshold method is substituted by peak searching method. Experiments show that the proposed method implements stably in different traffic scenes than traditional methods, and with the real-time performance and higher detection precision.
{"title":"Traffic scenes invariant vehicle detection","authors":"Yan Liu, Xiaoqing Lu, Jianbo Xu","doi":"10.1109/ASCC.2013.6606236","DOIUrl":"https://doi.org/10.1109/ASCC.2013.6606236","url":null,"abstract":"Although lots of vehicle detection methods can implement vehicle detection with high performance, most of their application is confined by traffic scenes. The detection precision may change heavily with traffic congestion extent, illumination variance and vehicle moving speed. To overcome the problem of weak traffic scene adaptability, a robust vehicle detection method is proposed using the inter-relationship of consecutive multiframes. The changing of frame content is a process including abrupt and gradual variation caused by the objects' color and intensity changing. Thus, the local maxima of consecutive frames' objective function are constructed to determine the best vehicle detection frame. This function is invariant to traffic congestion and vehicle speed, and avoids vehicle segmentation from frames. For illumination invariance, traditional threshold method is substituted by peak searching method. Experiments show that the proposed method implements stably in different traffic scenes than traditional methods, and with the real-time performance and higher detection precision.","PeriodicalId":6304,"journal":{"name":"2013 9th Asian Control Conference (ASCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83159848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-06-23DOI: 10.1109/ASCC.2013.6606284
R. L. Pereira, K. Kienitz
This paper presents synthesis conditions for the design and application of Linear Parameter-Varying (LPV) controllers for a 3DOF (Degrees of Freedom) Hover. This laboratory plant simulates typical behaviors of an VTOL ("vertical taking-off landing") aircraft, also known as X4-flyer. The dynamics of the Hover are described by a 6th order model taking as state variables the angles of roll, pitch, yaw and associated rates. The design problem has been formulated via parametric H∞ loop shaping control by describing the uncertainly as perturbations to normalized coprime factors of the shaped plant. The design strategy is characterized by the insertion of a free parameter that aims to increase the flexibility of the design ensuring robust stabilization of the linear parameter-varying system. For the existence of a gain-scheduled parametric H∞ loop shaping controller, a set of sufficient conditions has been derived in an LMI framework. Finally, we present experimental results obtained with the application of the parametric H∞ loop shaping controller for the tracking of reference trajectories of the Hover.
{"title":"Design and application of gain-scheduling control for a Hover: Parametric H∞ loop shaping approach","authors":"R. L. Pereira, K. Kienitz","doi":"10.1109/ASCC.2013.6606284","DOIUrl":"https://doi.org/10.1109/ASCC.2013.6606284","url":null,"abstract":"This paper presents synthesis conditions for the design and application of Linear Parameter-Varying (LPV) controllers for a 3DOF (Degrees of Freedom) Hover. This laboratory plant simulates typical behaviors of an VTOL (\"vertical taking-off landing\") aircraft, also known as X4-flyer. The dynamics of the Hover are described by a 6th order model taking as state variables the angles of roll, pitch, yaw and associated rates. The design problem has been formulated via parametric H∞ loop shaping control by describing the uncertainly as perturbations to normalized coprime factors of the shaped plant. The design strategy is characterized by the insertion of a free parameter that aims to increase the flexibility of the design ensuring robust stabilization of the linear parameter-varying system. For the existence of a gain-scheduled parametric H∞ loop shaping controller, a set of sufficient conditions has been derived in an LMI framework. Finally, we present experimental results obtained with the application of the parametric H∞ loop shaping controller for the tracking of reference trajectories of the Hover.","PeriodicalId":6304,"journal":{"name":"2013 9th Asian Control Conference (ASCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80545269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-06-23DOI: 10.1109/ASCC.2013.6606381
A. Faudzi, Teh Chuan Enn, K. Osman, Z. Ismail
This paper proposed a linearized model of intelligent pneumatic actuator (IPA) based on the linearization technique known as Taylor series expansion. First, nonlinear mathematical modeling for the IPA system according to fundamental physical derivation is presented. Linearization is then introduced to linearize this nonlinear mathematical model. For the controller design, Neuro-Fuzzy Inference System (ANFIS) is proposed. ANFIS, which combines neural network and fuzzy logic, are adopted and applied to the linear mathematical model to perform position, force and viscosity controls. By training the correct data, membership functions for the fuzzy logic can be obtained through ANFIS toolbox in MATLAB. Closed-loop control for IPA system is conducted and performance the Proportional-Integral (PI) ANFIS controller is analyzed and compared with conventional PI controller. Simulation results show that PI ANFIS controller performed better than conventional PI controller in terms of position, force tracking and viscosity control.
{"title":"Linearized mathematical model of intelligent pneumatic actuator system: Position, force and viscosity controls","authors":"A. Faudzi, Teh Chuan Enn, K. Osman, Z. Ismail","doi":"10.1109/ASCC.2013.6606381","DOIUrl":"https://doi.org/10.1109/ASCC.2013.6606381","url":null,"abstract":"This paper proposed a linearized model of intelligent pneumatic actuator (IPA) based on the linearization technique known as Taylor series expansion. First, nonlinear mathematical modeling for the IPA system according to fundamental physical derivation is presented. Linearization is then introduced to linearize this nonlinear mathematical model. For the controller design, Neuro-Fuzzy Inference System (ANFIS) is proposed. ANFIS, which combines neural network and fuzzy logic, are adopted and applied to the linear mathematical model to perform position, force and viscosity controls. By training the correct data, membership functions for the fuzzy logic can be obtained through ANFIS toolbox in MATLAB. Closed-loop control for IPA system is conducted and performance the Proportional-Integral (PI) ANFIS controller is analyzed and compared with conventional PI controller. Simulation results show that PI ANFIS controller performed better than conventional PI controller in terms of position, force tracking and viscosity control.","PeriodicalId":6304,"journal":{"name":"2013 9th Asian Control Conference (ASCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82642965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-06-23DOI: 10.1109/ASCC.2013.6606056
Saleh Al-Takrouri, A. Savkin, V. Agelidis
A distributed random algorithm for controlling electrical power flow after a failure in (or attack on) a power transmission grid is proposed. The aim is to minimize load shedding and to avoid a cascaded failure in the network. The DC power flow model is used to simulate the power flow in the network. The algorithm is based only on the information about the closest neighbours of each node. A mathematically rigorous proof of convergence with probability 1 of the proposed algorithm is provided.
{"title":"A decentralized control algorithm based on the DC power flow model for avoiding cascaded failures in power networks","authors":"Saleh Al-Takrouri, A. Savkin, V. Agelidis","doi":"10.1109/ASCC.2013.6606056","DOIUrl":"https://doi.org/10.1109/ASCC.2013.6606056","url":null,"abstract":"A distributed random algorithm for controlling electrical power flow after a failure in (or attack on) a power transmission grid is proposed. The aim is to minimize load shedding and to avoid a cascaded failure in the network. The DC power flow model is used to simulate the power flow in the network. The algorithm is based only on the information about the closest neighbours of each node. A mathematically rigorous proof of convergence with probability 1 of the proposed algorithm is provided.","PeriodicalId":6304,"journal":{"name":"2013 9th Asian Control Conference (ASCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90844744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-06-23DOI: 10.1109/ASCC.2013.6606189
Ching-Tsan Chiang, Wen-Lung Lu, Hao-An Jhuang
Wind power is an intermittent and unstable energy. In recent years, wind power system installation fields are getting more and more, the installation capacities are getting larger and larger, therefore, the stability of the wind power system is becoming very important. This research completed building a wind power system model and developed extremely short term wind power forecasting system. In the part of building wind turbine model, it is based on realistic wind turbine operational data and applies to a traditional wind turbine mathematical model to find the best Betz coefficient of a wind turbine model Vestas 80 (Denmark), then based on Recurrent S_CMAC_GBF (RSCMAC) to build a new RSCMAC wind turbine model. Comparison confirmed the better results of RSCMAC wind turbine model achieved. In the part of developing extremely short term wind speed forecasting system, the meteorological stations were set up around the forecasting fields to collect relevant information and based on RSCMAC to develop an extremely term wind speed forecasting system; the results show the forecast feasibility and effect. In the future, this forecasting system can be applied as the reference for the application of wind farm evaluation or wind energy prediction.
{"title":"Extremely short-term wind speed prediction based on RSCMAC","authors":"Ching-Tsan Chiang, Wen-Lung Lu, Hao-An Jhuang","doi":"10.1109/ASCC.2013.6606189","DOIUrl":"https://doi.org/10.1109/ASCC.2013.6606189","url":null,"abstract":"Wind power is an intermittent and unstable energy. In recent years, wind power system installation fields are getting more and more, the installation capacities are getting larger and larger, therefore, the stability of the wind power system is becoming very important. This research completed building a wind power system model and developed extremely short term wind power forecasting system. In the part of building wind turbine model, it is based on realistic wind turbine operational data and applies to a traditional wind turbine mathematical model to find the best Betz coefficient of a wind turbine model Vestas 80 (Denmark), then based on Recurrent S_CMAC_GBF (RSCMAC) to build a new RSCMAC wind turbine model. Comparison confirmed the better results of RSCMAC wind turbine model achieved. In the part of developing extremely short term wind speed forecasting system, the meteorological stations were set up around the forecasting fields to collect relevant information and based on RSCMAC to develop an extremely term wind speed forecasting system; the results show the forecast feasibility and effect. In the future, this forecasting system can be applied as the reference for the application of wind farm evaluation or wind energy prediction.","PeriodicalId":6304,"journal":{"name":"2013 9th Asian Control Conference (ASCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91532614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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